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Advances in OptoElectronics
Volume 2013, Article ID 721420, 5 pages
http://dx.doi.org/10.1155/2013/721420
Research Article

Initial Antinoise Performance Analysis of Pupil Phase Diversity Based on Genetic Algorithm

School of Electronic Engineering, Huaihai Institute of Technology, Lianyungang 222005, China

Received 27 April 2013; Revised 3 July 2013; Accepted 30 July 2013

Academic Editor: Anthony Kenyon

Copyright © 2013 Huizhen Yang and Yaoqiu Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Pupil phase diversity (PPD) wavefront sensor is a new kind of phase-visualization methods, and the output signal of PPD represents the input pupil phase and shows a 1-1 mapping between the position of the wavefront error in the pupil and its position in the output signal. High-precisely wavefront measuring can be obtained under no noise by using appropriate phase restoration algorithm while performance of PPD under noise is unknown. We analyzed antinoise performance of PPD based on genetic algorithm (GA) through measuring the distorted wavefront under different noise level. Simulation results show that wavefront measuring is almost not affected by the existence of noise, which indicates that PPD based on GA can be used in applications with noise.